Data Analytics Initiatives
The categorisation of analytical projects could help to simplify complexity reasonably and, at the same time, clarify the critical aspects of analytical initiatives. But how can this complex work be categorized? What makes it so complex?Data Analytics Initiatives: Managing Analytics for Success emphasizes that each analytics project is different. At the same time, analytics projects have many common aspects, and these features make them unique compared to other projects. Describing these commonalities helps to develop a conceptual understanding of analytical work. However, features specific to each initiative affects the entire analytics project lifecycle. Neglecting them by trying to use general approaches without tailoring them to each project can lead to failure.In addition to examining typical characteristics of the analytics project and how to categorise them, the book looks at specific types of projects, provides a high-level assessment of their characteristics from a risk perspective, and comments on the most common problems or challenges. The book also presents examples of questions that could be asked of relevant people to analyse an analytics project. These questions help to position properly the project and to find commonalities and general project challenges.
Cracking the SAP S/4hana Interview
A guide to achieve a highest level of SAP S/4 HANA, Central Finance and Group ReportingKey FeaturesIn-depth demonstration of SAP S/4HANA 2020, 1909, and 2021 fundamentals.Includes graphical illustrations for Migration Cockpit commands and methods.Hands-on practice on Fiori, BPC, SAP S/4 HANA Central Finance and Group reporting.DescriptionThis book will guide you through the process about what you need to know and help you perform at your highest level to achieve SAP S/4 HANA and some of the best practices available today.This book can assist you in acing employment interviews. This book provides an in-depth practical illustration of SAP S/4HANA 2020, 1909, and 2021 fundamentals with several examples. It contains graphical demonstrations and visual descriptions of the commands and methods available in the SAP S/4 HANA Migration Cockpit. It includes thorough hands-on practice showcasing Fiori, BPC, SAP S/4 HANA Central Finance, and Group reporting subjects using SAP S/4HANA standards. Many applications and industry-wide projects are included in the book.After reading this book, you will be able to reliably perform Basis, Security, SD, MM, PP, FICO, and HCM operations, as well as define complicated tasks in SAP S/4 HANA from the very first day.What you will learnPerform Basis, Security, SD, MM, PP, FICO, and HCM processes in SAP S/4 HANA.Forecast and monitor progress throughout the SAP S/4HANA deployment process.Administration, implementation, and authorisation of SAP S/4 HANA systems from start to finish.Enterprise-wide backup, restore, and monitoring of SAP HANA databases.Leverage Fiori apps to carry out SAP S/4 HANA tasks.Who this book is forThis book is meant for S/4 HANA consultants and project managers as well as those working in other fields related to SAP S/4 HANA. If you read this book, you will be well-versed in every step of the SAP S/4HANA project development lifecycle.Table of Contents1. SAP S/4 HANA 2020, 2021, 1909 Interview questions2. Lessons learnt and pragmatic approach SAP S/4 HANA Interview questions3. SAP S/4 HANA Data Migration Interview questions4. Interview questions and answers on BPC, SAP S/4 HANA Central Finance and Group reportingRead more
Information Technology in Disaster Risk Reduction
This volume constitutes the refereed and revised post-conference proceedings of the 6th IFIP WG 5.15 International Conference on Information Technology in Disaster Risk Reduction, ITDRR 2021, in Morioka, Japan, in October 2021. The 11 full papers presented were carefully reviewed and selected from 18 submissions. The papers focus on various aspects and challenges of coping with disaster risk reduction. The papers are categorized in the following topical subheadings: Information Analysis for Situation Awareness; Evacuation and Rescue; COVID-19 Issues; and IT Use for Risk and Disaster Management.
Mastering Access 365
Database creation and management made easyWhether you're new to Access or looking to refresh your skills on this popular desktop database application, you'll find everything you need to create efficient and robust database solutions for your data in this book.Even if you have no formal database training, don't worry. This book starts from the basics and shows you how to structure your data for a relational database management system.Clear, concise, and straightforwardThis book offers clear and straightforward explanations on creating tables and relationships, building user-friendly forms, importing data from external sources, writing queries to answer questions, and presenting information with reports.Practical examples for hands-on learningMastering Access 365 is a practical guide, using examples from a case study to demonstrate each aspect of Access. Screenshots illustrate the concepts, features, and tasks being discussed.The best way to learn is through practice, so downloadable sample files have been provided to enable you to follow the examples in the book hands-on.This book covers Access 2021 and the latest version of Access for Microsoft 365 (2022 update).Learn how to: Plan your database, including how to capture and refine your data requirements.Structure your data design for efficient data storage. Create Access tables and define table relationships.Quickly generate feature-rich, user-friendly forms to simplify data entry.Write queries to answer questions and perform data updates.Build quick and powerful reports to present and analyze your data.Perform different data transformation tasks to clean up or organize your data.Import and export data to/from external sources like Excel, text files, and SQL Server.Split your database into front-end and back-end files in a multi-user environment.
Ict Innovations 2021. Digital Transformation
This book constitutes the refereed proceedings of the 13th International ICT Innovations Conference, ICT Innovations 2021, held as virtual event in September 2021.The 15 full papers presented were carefully reviewed and selected from 58 submissions. The papers are organized in topical sections on deep learning and AI; NLP and social network analysis; theoretical foundations and information security; e-services; sensor systems, IoT.
Advances in Intelligent Data Analysis XX
This book constitutes the proceedings of the 20th International Symposium on Intelligent Data Analysis, IDA 2022, which was held in Rennes, France, during April 20-22, 2022. The 31 papers included in this book were carefully reviewed and selected from 73 submissions. They deal with high quality, novel research in intelligent data analysis.
Democratizing Artificial Intelligence with UiPath
Build an end-to-end business solution in the cognitive automation lifecycle and explore UiPath Document Understanding, UiPath AI Center, and DruidKey Features: Explore out-of-the-box (OOTB) AI Models in UiPathLearn how to deploy, manage, and continuously improve machine learning models using UiPath AI CenterDeploy UiPath-integrated chatbots and master UiPath Document UnderstandingBook Description: Artificial intelligence (AI) enables enterprises to optimize business processes that are probabilistic, highly variable, and require cognitive abilities with unstructured data. Many believe there is a steep learning curve with AI, however, the goal of our book is to lower the barrier to using AI. This practical guide to AI with UiPath will help RPA developers and tech-savvy business users learn how to incorporate cognitive abilities into business process optimization. With the hands-on approach of this book, you'll quickly be on your way to implementing cognitive automation to solve everyday business problems.Complete with step-by-step explanations of essential concepts, practical examples, and self-assessment questions, this book will help you understand the power of AI and give you an overview of the relevant out-of-the-box models. You'll learn about cognitive AI in the context of RPA, the basics of machine learning, and how to apply cognitive automation within the development lifecycle. You'll then put your skills to test by building three use cases with UiPath Document Understanding, UiPath AI Center, and Druid.By the end of this AI book, you'll be able to build UiPath automations with the cognitive capabilities of intelligent document processing, machine learning, and chatbots, while understanding the development lifecycle.What You Will Learn: Discover how to bridge the gap between RPA and cognitive automationUnderstand how to configure, deploy, and maintain ML models in UiPathExplore OOTB models to manage documents, chats, emails, and morePrepare test data and test cases for user acceptance testing (UAT)Build a UiPath automation to act upon Druid responsesFind out how to connect custom models to RPAWho this book is for: AI Engineers and RPA developers who want to upskill and deploy out-of-the-box models using UiPath's AI capabilities will find this guide useful. A basic understanding of robotic process automation and machine learning will be beneficial but not mandatory to get started with this UiPath book.
Practical Guide to Salesforce Experience Cloud
Whether you are brand new to the world of digital experiences on the Salesforce platform or you are looking to take your Experience Cloud (previously "Community Cloud") knowledge to the next level, this detailed guide will help you build and manage a Salesforce site by leveraging the declarative power of the platform with clicks, not code.Each Salesforce site/community is a part of a widespread ecosystem, with thousands of sites and millions of users active today on Experience Cloud. Through valuable social and business tools, this online platform enables companies to empower and equip their customers, partners, and employees in new, powerful ways.Author Philip Weinmeister, Salesforce MVP and the only recipient of the "Community Cloud MVP" Trailblazer award from Salesforce, leads you through the ins and outs of Salesforce Experience Cloud and provides you with an array of best practices to deliver top-notch business portals on the Salesforce platform.This completely revised edition updates all content to reflect the new "experience-centric" branding and a slew of platform updates from the last few years (including screenshots, terminology, features, etc.). Net new content includes Salesforce CMS, the Experience Cloud Consultant certification exam, and Mobile Publisher, among other topics.The book takes you through the entire process: from planning and designing a site to configuration/build, setup, and administration, all the way to deployment. Detailed explanations are provided for key components, templates, and features such as Experience Builder, Audience Targeting, Lightning Bolts, and much more.What You Will LearnPlan and design a site using Experience CloudConceptualize how employees, partners, and customers use and benefit from Salesforce sitesUse Experience Builder and Lightning components within an Experience Builder templateApply topics and knowledge articles to a site to increase value and adoptionBuild and display rich content within a site using Salesforce CMSCreate dynamic and personalized user experiences with audience targetingBuild, export, and import unique templates with the Lightning Bolt solution frameworkProvide site data for members or site managersWho This Book Is ForSalesforce administrators, developers, functional architects, business analysts, and site/community managers.
Making Data Work
The ability to translate technology innovation into business value is hampered by the lack of methodology that would allow successful adoption. The core of this book explores examples of organisational challenges and the strategies that led to their resolution. The solutions presented are practical allowing readers to chart a way forward.
Mastering Access 365
Database creation and management made easyWhether you're new to Access or looking to refresh your skills on this popular desktop database application, you'll find everything you need to create efficient and robust database solutions for your data in this book.Even if you have no formal database training, don't worry. This book starts from the basics and shows you how to structure your data for a relational database management system.Clear, concise, and straightforwardThis book offers clear and straightforward explanations on creating tables and relationships, building user-friendly forms, importing data from external sources, writing queries to answer questions, and presenting information with reports.Practical examples for hands-on learningMastering Access 365 is a practical guide, using examples from a case study to demonstrate each aspect of Access. Screenshots illustrate the concepts, features, and tasks being discussed.The best way to learn is through practice, so downloadable sample files have been provided to enable you to follow the examples in the book hands-on.This book covers Access 2021 and the latest version of Access for Microsoft 365 (2022 update).Learn how to: Plan your database, including how to capture and refine your data requirements.Structure your data design for efficient data storage. Create Access tables and define table relationships.Quickly generate feature-rich, user-friendly forms to simplify data entry.Write queries to answer questions and perform data updates.Build quick and powerful reports to present and analyze your data.Perform different data transformation tasks to clean up or organize your data.Import and export data to/from external sources like Excel, text files, and SQL Server.Split your database into front-end and back-end files in a multi-user environment.
Individual Differences in Resistance to Truth Decay
The authors describe development of a survey measure that they used to examine characteristics of human cognitive processing (such as cognitive biases) and assess the results for individual resistance to some aspects of Truth Decay, including blurring of the line between opinion and fact and diminished trust in formerly respected institutions as sources of factual information.
Deep Learning
DEEP LEARNING A concise and practical exploration of key topics and applications in data science In Deep Learning: From Big Data to Artificial Intelligence with R, expert researcher Dr. St矇phane Tuff矇ry delivers an insightful discussion of the applications of deep learning and big data that focuses on practical instructions on various software tools and deep learning methods relying on three major libraries: MXNet, PyTorch, and Keras-TensorFlow. In the book, numerous, up-to-date examples are combined with key topics relevant to modern data scientists, including processing optimization, neural network applications, natural language processing, and image recognition. This is a thoroughly revised and updated edition of a book originally released in French, with new examples and methods included throughout. Classroom-tested and intuitively organized, Deep Learning: From Big Data to Artificial Intelligence with R offers complimentary access to a companion website that provides R and Python source code for the examples offered in the book. Readers will also find: A thorough introduction to practical deep learning techniques with explanations and examples for various programming libraries Comprehensive explorations of a variety of applications for deep learning, including image recognition and natural language processing Discussions of the theory of deep learning, neural networks, and artificial intelligence linked to concrete techniques and strategies commonly used to solve real-world problems Perfect for graduate students studying data science, big data, deep learning, and artificial intelligence, Deep Learning: From Big Data to Artificial Intelligence with R will also earn a place in the libraries of data science researchers and practicing data scientists.
Information Security Technologies in the Decentralized Distributed Networks
Application of Big Data in Petroleum Streams
The book covers intricate aspects of big data such as 6Vs, benefits, applications, implementation, research work and real-world implementation pertaining to each petroleum associated operations in a concise manner that aids the reader to apprehend the overview of big data's role in the industry.
Microsoft Power BI Performance Best Practices
Supercharge performance analytics and create repeatable patterns to ensure you get the best performance and scalability from your analytics solutions with Power BIKey Features: - Learn how to build performant data models and apply Row-Level Security- Identify and fix performance issues in reports, DAX, and datasets using DAX Studio/VertiPaq Analyzer- Use a formal process to manage performance, from setting targets to monitoring and remediating issuesBook Description: This book comprehensively covers every layer of Power BI, from the report canvas to data modeling, transformations, storage, and architecture.Developers and architects working with any area of Power BI will be able to put their knowledge to work with this practical guide to design and implement at every stage of the analytics solution development process. This book is not only a unique collection of best practices and tips, but also provides you with a hands-on approach to identifying and fixing common performance issues.Complete with explanations of essential concepts and practical examples, you'll learn about common design choices that affect performance and consume more resources and how to avoid these problems. You'll grasp the general architectural issues and settings that broadly affect most solutions. As you progress, you'll walk through each layer of a typical Power BI solution, learning how to ensure your designs can handle scale while not sacrificing usability. You'll focus on the data layer and then work your way up to report design. We will also cover Power BI Premium and load testing.By the end of this Power BI book, you'll be able to confidently maintain well-performing Power BI solutions with reduced effort and know how to use freely available tools and a systematic process to monitor and diagnose performance problems.What You Will Learn: - Understand how to set realistic performance targets and address performance proactively- Understand how architectural options and configuration affect performance- Build efficient Power BI reports and data transformations- Explore best practices for data modeling, DAX, and large datasets- Understand the inner workings of Power BI Premium- Explore options for extreme scale with Azure services- Understand how to use tools that help identify and fix performance issuesWho this book is for: Data analysts, BI developers, and data professionals who have learnt the basics of Power BI and now want to understand how to build advanced analytics solutions will find this business intelligence book useful. Familiarity with the major components of Power BI and a beginner-level understanding of their purpose and use cases are required.Table of Contents- Setting Targets and Identifying Problem Areas- Exploring Power BI Architecture and Configuration- DirectQuery Optimization- Analyzing Logs and Metrics- Desktop Performance Analyzer- Third-Party Utilities- Governing with a Performance Framework- Loading, Transforming, and Refreshing Data- Report and Dashboard Design- Data Modeling and Row-Level Security- Improving DAX- High-Scale Patterns- Optimizing Premium and Embedded Capacities- Embedding in Applications
Numerical Methods Using Java
Implement numerical algorithms in Java using NM Dev, an object-oriented and high-performance programming library for mathematics.You'll see how it can help you easily create a solution for your complex engineering problem by quickly putting together classes.Numerical Methods Using Java covers a wide range of topics, including chapters on linear algebra, root finding, curve fitting, differentiation and integration, solving differential equations, random numbers and simulation, a whole suite of unconstrained and constrained optimization algorithms, statistics, regression and time series analysis. The mathematical concepts behind the algorithms are clearly explained, with plenty of code examples and illustrations to help even beginners get started. What You Will Learn Program in Java using a high-performance numerical libraryLearn the mathematics for a wide range of numerical computing algorithmsConvert ideas and equations into codePut together algorithms and classes to build your own engineering solutionBuild solvers for industrial optimization problemsDo data analysis using basic and advanced statisticsWho This Book Is For Programmers, data scientists, and analysts with prior experience with programming in any language, especially Java.
Cyber Mission Thread Analysis
Cyber mission thread analysis (CMTA), which identifies mission-critical systems in a cyber threat environment, requires a disciplined, well-planned process for its execution. This report provides a proposed planning and implementation guide (1) to perform CMTA expeditiously while still giving results good enough to make decisions about mission criticality, and (2) to analyze multiple missions concurrently.
Machine Learning for Networking
This book constitutes the thoroughly refereed proceedings of the 4th International Conference on Machine Learning for Networking, MLN 2021, held in Paris, France, in December 2021. The 10 revised full papers included in the volume were carefully reviewed and selected from 30 submissions. They present and discuss new trends in in deep and reinforcement learning, pattern recognition and classification for networks, machine learning for network slicing optimization, 5G systems, user behavior prediction, multimedia, IoT, security and protection, optimization and new innovative machine learning methods, performance analysis of machine learning algorithms, experimental evaluations of machine learning, data mining in heterogeneous networks, distributed and decentralized machine learning algorithms, intelligent cloud-support communications, resource allocation, energy-aware communications, software-defined networks, cooperative networks, positioning and navigation systems, wireless communications, wireless sensor networks, and underwater sensor networks.
Power Bi Data Modeling
Build Power BI Models Efficiently and EffectivelyKey FeaturesExtensive examples illustrating Power BI and data modeling concepts.Includes graphical images and explanations of using Power BI.Numerous hands-on practical examples are teaching best practices in predictive modeling.DescriptionCreating data models has never been straightforward. This book demonstrates how to formulate a complete business analytics model that combines several data sources, executes numerous computations, and scales across hundreds of BI users.To begin, you'll learn about the Microsoft Power BI ecosystem by downloading the Power BI desktop and exploring all of its features and capabilities. Through examples, you'll learn how to connect to databases of Excel; and SQL Server, shaping the data with Power Query, and then transforming the data into actionable information. You will gain knowledge of the DAX language by exploring it, writing DAX functions, and creating hierarchies. You will be trained to develop effective business intelligence models by studying numerous data modeling topics.You get to put professionals' best practices to the test when handling large data scenarios and executing analytics on top of them. Additionally, the book discusses how to scale Power BI while considering its storage, memory, and security requirements. You'll see that several new topics have been included, including performance tuning, DAX Studio, sharing Power BI reports, and publishing reports to Sharepoint online.What you will learnConduct profiling, cleansing, and transformation of data.Build data models, aggregate data, and create hierarchies.Practice DAX language, write calculations, and execute them.Utilize advanced features including AI visualizations and performance analyzer.Examine various connection types and connect data from different sources.Enhance performance by boosting storage and memory.Who this book is forThis book is intended for data analysts, business analysts, and any other business user who are interested in learning how to develop data models using Power BI from beginning to end. To follow this book and master Power BI, a basic understanding of data visualization would be sufficient.Table of Contents1. Introduction to Microsoft Power BI2. Microsoft Power BI Eco-system3. Getting Started with Power BI and Connect with Data4. My first Power BI Report5. Intro to BI Building Blocks & Dimensional Mod Concepts6. Get Data from Relational Databases7. Cleansing, Blending and Transform Data using Power Query8. Build Relationships9. Introduction to DAX and Calculated Columns, Cal Measures & Hierarchies10. Create Insightful Visuals11. Row-level Security12. Calculation Groups in Power BI13. Self-service AI in Power BI14. Incremental Refresh for Scalable Models15. Composite Models & Implement Aggregations to Improve query performance16. Self-service Data Prep for Any Data17. Optimize DAX18. Collaborate Your Power BI Workload19. Performance Tuning via optimizing Storage and MemoryRead more
Intelligent Computing Systems
This book constitutes the proceedings of the 4th International Symposium on Intelligent Computing Systems, ISICS 2022, held in Santiago, Chile, in March 2022. Due to the COVID-19 pandemic the conference was held online. The 9 full papers along with 2 short papers presented in this volume were carefully reviewed and selected from 30 submissions. They deal with the field of intelligent computing systems focusing on artificial intelligence, computer vision and image processing.
Let’s Get Iot-Fied!
Internet of Things (IoT) stands acclaimed as a widespread area of research and has definitely enticed the interests of almost the entire globe. IoT appears to be the present as well as the future technology. This book attempts to inspire readers to explore and become accustomed to IoT. Presented in a lucid and eloquent way, this book adopts a clear and crisp approach to impart the basics as expeditiously as possible. It kicks off with the very fundamentals and then seamlessly advances in such a way that the step-by-step unique approach, connection layout, and the verified codes provided for every project can enhance the intuitive learning process and will get you onboard to the world of product building. We can assure that you will be definitely raring to start developing your own IoT solutions and to get yourself completely lost in the charm of IoT. Let's start connecting the unconnected! It's time to get IoT-fied.
Getting Started with CockroachDB
Get hands-on with deploying and managing your database services to provide scalable and high-speed data access on CockroachDBKey Features: Gain insights into CockroachDB and build highly reliable cloud-native applicationsExplore the power of a scalable and highly available cloud-native SQL database to distribute data and workloads automaticallyBuild high-speed database services using CockroachDB and troubleshoot performance issuesBook Description: Getting Started with CockroachDB will introduce you to the inner workings of CockroachDB and help you to understand how it provides faster access to distributed data through a SQL interface. The book will also uncover how you can use the database to provide solutions where the data is highly available.Starting with CockroachDB's installation, setup, and configuration, this SQL book will familiarize you with the database architecture and database design principles. You'll then discover several options that CockroachDB provides to store multiple copies of your data to ensure fast data access. The book covers the internals of CockroachDB, how to deploy and manage it on the cloud, performance tuning to get the best out of CockroachDB, and how to scale data across continents and serve it locally. In addition to this, you'll get to grips with fault tolerance and auto-rebalancing, how indexes work, and the CockroachDB Admin UI. The book will guide you in building scalable cloud services on top of CockroachDB, covering administrative and security aspects and tips for troubleshooting, performance enhancements, and a brief guideline on migrating from traditional databases.By the end of this book, you'll have gained sufficient knowledge to manage your data on CockroachDB and interact with it from your application layer.What You Will Learn: Become well-versed with the overall architecture and design concepts of CockroachDBUnderstand how auto-rebalancing of data can avoid performance bottlenecksGet to know how CockroachDB achieves atomicity, consistency, isolation, and durabilityPartition your data across multiple geolocations to ensure very low latency when serving dataFind out how indexes are stored and the optimizations used to serve query results fasterDiscover the key concepts of deploying and managing CockroachDB clustersWho this book is for: Software engineers, database developers, database administrators, and anyone who wishes to learn about the features of CockroachDB and how to build database solutions that are fast, highly available, and cater to business-critical applications, will find this book useful. Although no prior exposure to CockroachDB is required, familiarity with database concepts will help you to get the most out of this book.
Salesforce Platform Governance Method
Accelerate your Salesforce implementation to provide benefits to your business more rapidly while maintaining control and improving quality.Salesforce has become one of the most influential business tools in our modern age. What started as the world's most comprehensive customer relationship management (CRM) system available in the market place has now morphed over the years into an ecosystem of tools and services that enable you to run your entire business platform. This book gives you a method (a set of governance processes) that provides a complete view of how to govern and manage any Salesforce implementation. It breaks the architectural components of the Salesforce platform into manageable sections, allowing you to navigate and understand how to govern your Salesforce implementation in a consistent manner with an approach that is structured, repeatable, and clearly defined. Salesforce Platform Governance Method is divided into nine distinct phases which have been chosen based on how the Salesforce platform is architected. This is relevant today because every organization that implements Salesforce will face the same issues around governance, integration, development, and security and the majority of organizations will find, through trial and error, a solution to govern these components. This book will help Salesforce professionals and enterprise organizations as well as small and mid-sized businesses (SMBs) navigate these topics and ultimately have a successful and fully integrated, secure Salesforce implementation. What You Will Learn Govern the application architecture on the Salesforce platform, including general architecture, localization and global deployments, workflow and process, formulas and files, and socialGovern the data architecture, including design and data optimization, performance, predictive and actual data volumes, and datamovementGovern the identity and access management aspects of the application and Salesforce platformGovern the low-level platform capabilities delivered through Lightning, Visualforce, and ApexHandle community implementations that bring specific features into the Salesforce platform for consideration and governanceCreate checklists for the governance steps, laid out in the method, and for any tooling recommendations that can help simplify the process of governance Who This Book Is ForPeople responsible for maintaining a Salesforce SaaS instance or developing changes for that Salesforce instance. Readers should have a basic understanding of the Salesforce platform and a desire to introduce a level of control around the changes being made, reduce issues on their Salesforce instance, and improve quality while increasing the throughput of changes they want to introduce into the platform.
Text as Data
A guide for using computational text analysis to learn about the social world From social media posts and text messages to digital government documents and archives, researchers are bombarded with a deluge of text reflecting the social world. This textual data gives unprecedented insights into fundamental questions in the social sciences, humanities, and industry. Meanwhile new machine learning tools are rapidly transforming the way science and business are conducted. Text as Data shows how to combine new sources of data, machine learning tools, and social science research design to develop and evaluate new insights. Text as Data is organized around the core tasks in research projects using text-representation, discovery, measurement, prediction, and causal inference. The authors offer a sequential, iterative, and inductive approach to research design. Each research task is presented complete with real-world applications, example methods, and a distinct style of task-focused research. Bridging many divides-computer science and social science, the qualitative and the quantitative, and industry and academia-Text as Data is an ideal resource for anyone wanting to analyze large collections of text in an era when data is abundant and computation is cheap, but the enduring challenges of social science remain.Overview of how to use text as dataResearch design for a world of data delugeExamples from across the social sciences and industry
Snowflake Access Control
Understand the different access control paradigms available in the Snowflake Data Cloud and learn how to implement access control in support of data privacy and compliance with regulations such as GDPR, APPI, CCPA, and SOX. The information in this book will help you and your organization adhere to privacy requirements that are important to consumers and becoming codified in the law. You will learn to protect your valuable data from those who should not see it while making it accessible to the analysts whom you trust to mine the data and create business value for your organization.Snowflake is increasingly the choice for companies looking to move to a data warehousing solution, and security is an increasing concern due to recent high-profile attacks. This book shows how to use Snowflake's wide range of features that support access control, making it easier to protect data access from the data origination point all the way to the presentation and visualization layer.Reading this book helps you embrace the benefits of securing data and provide valuable support for data analysis while also protecting the rights and privacy of the consumers and customers with whom you do business. What You Will LearnIdentify data that is sensitive and should be restrictedImplement access control in the Snowflake Data CloudChoose the right access control paradigm for your organizationComply with CCPA, GDPR, SOX, APPI, and similar privacy regulationsTake advantage of recognized best practices for role-based access controlPrevent upstream and downstream services from subverting your access controlBenefit from access control features unique to the Snowflake Data Cloud Who This Book Is ForData engineers, database administrators, and engineering managers who wantto improve their access control model; those whose access control model is not meeting privacy and regulatory requirements; those new to Snowflake who want to benefit from access control features that are unique to the platform; technology leaders in organizations that have just gone public and are now required to conform to SOX reporting requirements
Sustainable Energy for Smart Cities
This book constitutes the refereed post-conference proceedings of the 3rd EAI International Conference on Sustainable Energy for Smart Cities, SESC 2021, held in November 2021. The conference was framed within the 7th Annual Smart City 360簞 Summit. Due to COVID-19 pandemic the conferences were held virtually. The 13 revised full papers were carefully reviewed and selected from 28 submissions. They present multidisciplinary scientific results toward answering the complex technological problems of emergent Smart Cities. The subjects related to sustainable energy, framed with the scope of smart cities and addressed along with the SESC 2021 conference, are crucial to guarantee an equilibrium among economic growth and environmental sustainability, as well as to contribute to reducing the impact of climate change.
Data Analysis with Python and Pyspark
Think big about your data! PySpark brings the powerful Spark big data processing engine to the Python ecosystem, letting you seamlessly scale up your data tasks and create lightning-fast pipelines. In Data Analysis with Python and PySpark you will learn how to: Manage your data as it scales across multiple machines Scale up your data programs with full confidence Read and write data to and from a variety of sources and formats Deal with messy data with PySpark's data manipulation functionality Discover new data sets and perform exploratory data analysis Build automated data pipelines that transform, summarize, and get insights from data Troubleshoot common PySpark errors Creating reliable long-running jobs Data Analysis with Python and PySpark is your guide to delivering successful Python-driven data projects. Packed with relevant examples and essential techniques, this practical book teaches you to build pipelines for reporting, machine learning, and other data-centric tasks. Quick exercises in every chapter help you practice what you've learned, and rapidly start implementing PySpark into your data systems. No previous knowledge of Spark is required. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the technology The Spark data processing engine is an amazing analytics factory: raw data comes in, insight comes out. PySpark wraps Spark's core engine with a Python-based API. It helps simplify Spark's steep learning curve and makes this powerful tool available to anyone working in the Python data ecosystem. About the book Data Analysis with Python and PySpark helps you solve the daily challenges of data science with PySpark. You'll learn how to scale your processing capabilities across multiple machines while ingesting data from any source--whether that's Hadoop clusters, cloud data storage, or local data files. Once you've covered the fundamentals, you'll explore the full versatility of PySpark by building machine learning pipelines, and blending Python, pandas, and PySpark code. What's inside Organizing your PySpark code Managing your data, no matter the size Scale up your data programs with full confidence Troubleshooting common data pipeline problems Creating reliable long-running jobs About the reader Written for data scientists and data engineers comfortable with Python. About the author As a ML director for a data-driven software company, Jonathan Rioux uses PySpark daily. He teaches the software to data scientists, engineers, and data-savvy business analysts. Table of Contents 1 Introduction PART 1 GET ACQUAINTED: FIRST STEPS IN PYSPARK 2 Your first data program in PySpark 3 Submitting and scaling your first PySpark program 4 Analyzing tabular data with pyspark.sql 5 Data frame gymnastics: Joining and grouping PART 2 GET PROFICIENT: TRANSLATE YOUR IDEAS INTO CODE 6 Multidimensional data frames: Using PySpark with JSON data 7 Bilingual PySpark: Blending Python and SQL code 8 Extending PySpark with Python: RDD and UDFs 9 Big data is just a lot of small data: Using pandas UDFs 10 Your data under a different lens: Window functions 11 Faster PySpark: Understanding Spark's query planning PART 3 GET CONFIDENT: USING MACHINE LEARNING WITH PYSPARK 12 Setting the stage: Preparing features for machine learning 13 Robust machine learning with ML Pipelines 14 Building custom ML transformers and estimators
Ubiquitous Security
This volume constitutes selected papers presented at the First Inernational Conference on Ubiquitous Security, UbiSec 2021, held in Guangzhou, China, in December 2021.The presented 26 full papers and 2 short papers were thoroughly reviewed and selected from the 96 submissions. They focus on security, privacy and anonymity aspects in cyberspace, physical world, and social networks.
Information for a Better World: Shaping the Global Future
This two-volume set LNCS 13192-12193 constitutes the refereed proceedings of the 17th International Conference on Information for a Better World: Shaping the Global Future, held in February 2022. Due to COVID-19 pandemic the conference was held virtually. The 32 full papers and the 29 short papers presented in this volume were carefully reviewed and selected from 167 submissions. They cover topics such as: Library and Information Science; Information Governance and Ethics; Data Science; Human-Computer Interaction and Technology, Information Behaviour and Retrieval, Communities and Media, Health Informatics.
PostgreSQL 14 Administration Cookbook
Administer, monitor, and replicate your PostgreSQL 14 database for efficient database management and maintenanceKey Features: Troubleshoot and tackle any administration and management problems in PostgreSQL 14Find expert techniques for monitoring, fine-tuning, and securing your databaseAdopt efficient replication for high availability with PostgreSQL 14Book Description: PostgreSQL is a powerful, open-source database management system with an enviable reputation for high performance and stability. With many new features in its arsenal, PostgreSQL 14 allows you to scale up your PostgreSQL infrastructure. With this book, you'll take a step-by-step, recipe-based approach to effective PostgreSQL administration.This book will get you up and running with all the latest features of PostgreSQL 14 while helping you explore the entire database ecosystem. You'll learn how to tackle a variety of problems and pain points you may face as a database administrator such as creating tables, managing views, improving performance, and securing your database. As you make progress, the book will draw attention to important topics such as monitoring roles, validating backups, regular maintenance, and recovery of your PostgreSQL 14 database. This will help you understand roles, ensuring high availability, concurrency, and replication. Along with updated recipes, this book touches upon important areas like using generated columns, TOAST compression, PostgreSQL on the cloud, and much more.By the end of this PostgreSQL book, you'll have gained the knowledge you need to manage your PostgreSQL 14 database efficiently, both in the cloud and on-premise.What You Will Learn: Plan, manage, and maintain PostgreSQL databases in productionWork with the newly introduced features of PostgreSQL 14Use pgAdmin or OmniDB to perform database administrator (DBA) tasksUse psql to write accurate and repeatable scriptsUnderstand how to tackle real-world data issues with the help of examplesSelect and implement robust backup and recovery techniques in PostgreSQL 14Deploy best practices for planning and designing live databasesWho this book is for: This Postgres 14 book is for database administrators, data architects, database developers, and anyone with an interest in planning and running live production databases using PostgreSQL 14. Those looking for hands-on solutions to any problem associated with PostgreSQL 14 administration will also find this book useful. Some experience with handling PostgreSQL databases will help you to make the most out of this book, however, it is a useful resource even if you are just beginning your Postgres journey.
Information for a Better World: Shaping the Global Future
This two-volume set LNCS 13192 - 13193 constitutes the refereed proceedings of the 17th International Conference on Information for a Better World: Shaping the Global Future, held in February 2022. Due to COVID-19 pandemic the conference was held virtually. The 32 full papers and the 29 short papers presented in this volume were carefully reviewed and selected from 167 submissions. They cover topics such as: Library and Information Science; Information Governance and Ethics; Data Science; Human-Computer Interaction and Technology, Information Behaviour and Retrieval, Communities and Media, Health Informatics.
Machine Learning and Principles and Practice of Knowledge Discovery in Databases
This two-volume set constitutes the refereed proceedings of the workshops which complemented the 21th Joint European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD, held in September 2021. Due to the COVID-19 pandemic the conference and workshops were held online. The 104 papers were thoroughly reviewed and selected from 180 papers submited for the workshops. This two-volume set includes the proceedings of the following workshops: Workshop on Advances in Interpretable Machine Learning and Artificial Intelligence (AIMLAI 2021)Workshop on Parallel, Distributed and Federated Learning (PDFL 2021)Workshop on Graph Embedding and Mining (GEM 2021)Workshop on Machine Learning for Irregular Time-series (ML4ITS 2021)Workshop on IoT, Edge, and Mobile for Embedded Machine Learning (ITEM 2021)Workshop on eXplainable Knowledge Discovery in Data Mining (XKDD 2021)Workshop on Bias and Fairness in AI (BIAS 2021)Workshop on Workshop on Active Inference (IWAI 2021)Workshop on Machine Learning for Cybersecurity (MLCS 2021)Workshop on Machine Learning in Software Engineering (MLiSE 2021)Workshop on MIning Data for financial applications (MIDAS 2021)Sixth Workshop on Data Science for Social Good (SoGood 2021)Workshop on Machine Learning for Pharma and Healthcare Applications (PharML 2021)Second Workshop on Evaluation and Experimental Design in Data Mining and Machine Learning (EDML 2020)Workshop on Machine Learning for Buildings Energy Management (MLBEM 2021)
Big-Data-Analytics in Astronomy, Science, and Engineering
This book constitutes the proceedings of the 9th International Conference on Big Data Analytics, BDA 2021, which took place virtually during December 7-9, 2021.The 15 full papers and 1 short paper included in this volume were carefully reviewed and selected from 60 submissions. They were organized in topical sections as follows: Data science: systems; data science: architectures; big data analytics in healthcare support systems, information interchange of web data resources; and business analytics.
Big Data - Bigdata 2021
This book constitutes the refereed proceedings of the 10th International Conference on Big Data, BigData 2021, held online as part of SCF 2021, during December 10-14, 2021.The 6 full and 2 short papers presented were carefully reviewed and selected from 53 submissions. The topics covered are Big Data Architecture, Big Data Modeling, Big Data As A Service, Big Data for Vertical Industries (Government, Healthcare, etc.), Big Data Analytics, Big Data Toolkits, Big Data Open Platforms, Economic Analysis, Big Data for Enterprise Transformation, Big Data in Business Performance Management, Big Data for Business Model Innovations and Analytics, Big Data in Enterprise Management Models and Practices, Big Data in Government Management Models and Practices, and Big Data in Smart Planet Solutions.
Text as Data
A guide for using computational text analysis to learn about the social world From social media posts and text messages to digital government documents and archives, researchers are bombarded with a deluge of text reflecting the social world. This textual data gives unprecedented insights into fundamental questions in the social sciences, humanities, and industry. Meanwhile new machine learning tools are rapidly transforming the way science and business are conducted. Text as Data shows how to combine new sources of data, machine learning tools, and social science research design to develop and evaluate new insights. Text as Data is organized around the core tasks in research projects using text-representation, discovery, measurement, prediction, and causal inference. The authors offer a sequential, iterative, and inductive approach to research design. Each research task is presented complete with real-world applications, example methods, and a distinct style of task-focused research. Bridging many divides-computer science and social science, the qualitative and the quantitative, and industry and academia-Text as Data is an ideal resource for anyone wanting to analyze large collections of text in an era when data is abundant and computation is cheap, but the enduring challenges of social science remain.Overview of how to use text as dataResearch design for a world of data delugeExamples from across the social sciences and industry
Hands-On Azure Data Platform
Plan, build, deploy, and monitor data solutions on AzureKey FeaturesWork with PostgreSQL, MySQL, and CosmosDB databases on Microsoft Azure.Work with whole data architecture, leverage Azure Storage, Azure Synapse, and Azure Data Lake.Data integration strategies with Azure Data Factory and Data Bricks.Description'Hands-On Azure Data Platform' helps readers get a fundamental understanding of the Database, Data Warehouse, and Data Lake and their management on the Azure Data Platform.The book describes how to work efficiently with Relational and Non-Relational Databases, Azure Synapse Analytics, and Azure Data Lake. The readers will use Azure Databricks and Azure Data Factory to experience data processing and transformation. The book delves deeply into topics like continuous integration, continuous delivery, and the use of Azure DevOps. The book focuses on the integration of Azure DevOps with CI/CD pipelines for data ops solutions. The book teaches readers how to migrate data from an on-premises system or another cloud service provider to Azure.After reading the book, readers will develop end-to-end data solutions using the Azure data platform. Additionally, data engineers and ETL developers can streamline their ETL operations using various efficient Azure services.What you will learnIn-depth knowledge of the principles of the data warehouse and the data lake.Acquaint yourself with Azure Storage Files, Blobs, and Queues.Create relational databases on the Azure platform using SQL, PostgreSQL, and MySQL.With Cosmos DB, you can create extremely scalable databases and data warehouses.Utilize Azure Databricks and Data Factory to develop data integration solutions.Who this book is forThis book is designed for big data engineers, data architects, and cloud engineers who want to understand how to use the Azure Data Platform to build enterprise-grade solutions. Learning about databases and the Azure Data Platform would be helpful but not necessary.Table of Contents1. Getting Started with the Azure Data Platform2. Working with Relational Databases on Azure3. Working with Azure Synapse Analytics4. Working with Azure Data Lake5. Working with Azure Cosmos DB6. Working with Azure Databricks7. Working with Azure Data Factory8. DevOps with the Azure Data Platform9. Planning and Migrating On-Premises Azure Workloads to the Azure Data platform10. Design and Implement Data Solutions on AzureRead more
Illumination of Artificial Intelligence in Cybersecurity and Forensics
A Practical Experience Applying Security Audit Techniques in an Industrial Healthcare System.- Feature Extraction and Artificial Intelligence-Based Intrusion Detection Model for a Secure Internet of Things Networks.- Intrusion Detection using Anomaly Detection Algorithm and Snort.- Research Perspective on Digital Forensic Tools and Investigation Process.- Intelligent Authentication Framework for Internet of Medical Things (IoMT).- Parallel Faces Recognition Attendance System with Anti-spoofing using Convolutional Neural Network.- A Systematic Literature Review on Face Morphing Attack Detection (MAD).- Averaging Dimensionality Reduction and Feature Level Fusion for Post-Processed Morphed Face Image Attack Detection.- A Systematic Literature Review on Forensics in Cloud, IoT, AI & Blockchain.- Predictive Forensic Based - Characterization of Hidden Elements in Criminal Networks using Baum-Welch Optimization Technique.- An Integrated IDS using ICA-based Feature Selection and SVM Classification Method.- A Binary Firefly Algorithm Based Feature Selection Method on High Dimensional Intrusion Detection Data.- Graphical Based Authentication Method Combined with City Block Distance for Electronic Payment System.- Authenticated Encryption to Prevent Cyberattacks in images.- Machine Learning in Automated Detection of Ransomware: Scope, Benefits and Challenges.
Advanced Computing
This volume constitutes reviewed and selected papers from the 11th International Advanced Computing Conference, IACC 2021, held in December 2021.The 47 full papers and 4 short papers presented in the volume were thorougly reviewed and selected from 246 submissions. The papers are organized in the following topical sections: application of artificial intelligence and machine learning in healthcare; application of AI for emotion and behaviour prediction; problem solving using reinforcement learning and analysis of data; advance uses of RNN and regression techniques; special intervention of AI.
Data Warehousing and Analytics
This textbook covers all central activities of data warehousing and analytics, including transformation, preparation, aggregation, integration, and analysis. It discusses the full spectrum of the journey of data from operational/transactional databases, to data warehouses and data analytics; as well as the role that data warehousing plays in the data processing lifecycle. It also explains in detail how data warehouses may be used by data engines, such as BI tools and analytics algorithms to produce reports, dashboards, patterns, and other useful information and knowledge.The book is divided into six parts, ranging from the basics of data warehouse design (Part I - Star Schema, Part II - Snowflake and Bridge Tables, Part III - Advanced Dimensions, and Part IV - Multi-Fact and Multi-Input), to more advanced data warehousing concepts (Part V - Data Warehousing and Evolution) and data analytics (Part VI - OLAP, BI, and Analytics).This textbook approaches data warehousing from the case study angle. Each chapter presents one or more case studies to thoroughly explain the concepts and has different levels of difficulty, hence learning is incremental. In addition, every chapter has also a section on further readings which give pointers and references to research papers related to the chapter. All these features make the book ideally suited for either introductory courses on data warehousing and data analytics, or even for self-studies by professionals. The book is accompanied by a web page that includes all the used datasets and codes as well as slides and solutions to exercises.
Reasoning Web. Declarative Artificial Intelligence
The purpose of the Reasoning Web Summer School is to disseminate recent advances on reasoning techniques and related issues that are of particular interest to Semantic Web and Linked Data applications. It is primarily intended for postgraduate students, postdocs, young researchers, and senior researchers wishing to deepen their knowledge. As in the previous years, lectures in the summer school were given by a distinguished group of expert lecturers.The broad theme of this year's summer school was again "Declarative Artificial Intelligence" and it covered various aspects of ontological reasoning and related issues that are of particular interest to Semantic Web and Linked Data applications. The following eight lectures were presented during the school: Foundations of Graph Path Query Languages; On Combining Ontologies and Rules; Modelling Symbolic Knowledge Using Neural Representations; Mining the Semantic Web with Machine Learning: Main Issues That Need to Be Known; Temporal ASP: From Logical Foundations to Practical Use with telingo; A Review of SHACL: From Data Validation to Schema Reasoning for RDF Graphs; and Score-Based Explanations in Data Management and Machine Learning.
Emerging Technologies for Education
This book constitutes the refereed conference proceedings of the 6th International Symposium on Emerging Technologies for Education, SETE 2021, held in Zhuhai, China in November 2021. 35 full papers were accepted together with 8 short papers out of 58 submissions. The papers focus on the following subjects: Emerging Technologies for Education, Digital Technology, Creativity, and Education; Education Technology (Edtech) and ICT for Education; Education + AI; Adaptive Learning, Emotion and Behaviour Recognition and Understanding in Education; as well as papers from the International Symposium on User Modeling and Language Learning (UMLL2021) and the International Workshop on Educational Technology for Language Learning (ETLL 2021).
Mathletics
How to use math to improve performance and predict outcomes in professional sports Mathletics reveals the mathematical methods top coaches and managers use to evaluate players and improve team performance, and gives math enthusiasts the practical skills they need to enhance their understanding and enjoyment of their favorite sports--and maybe even gain the outside edge to winning bets. This second edition features new data, new players and teams, and new chapters on soccer, e-sports, golf, volleyball, gambling Calcuttas, analysis of camera data, Bayesian inference, ridge regression, and other statistical techniques. After reading Mathletics, you will understand why baseball teams should almost never bunt; why football overtime systems are unfair; why points, rebounds, and assists aren't enough to determine who's the NBA's best player; and more.
Practitioner’s Guide to Data Science
Covers Data Science concepts, processes, and the real-world hands-on use cases.Key FeaturesCovers the journey from a basic programmer to an effective Data Science developer.Applied use of Data Science native processes like CRISP-DM and Microsoft TDSP.Implementation of MLOps using Microsoft Azure DevOps.Description"How is the Data Science project to be implemented?" has never been more conceptually sounding, thanks to the work presented in this book. This book provides an in-depth look at the current state of the world's data and how Data Science plays a pivotal role in everything we do.This book explains and implements the entire Data Science lifecycle using well-known data science processes like CRISP-DM and Microsoft TDSP. The book explains the significance of these processes in connection with the high failure rate of Data Science projects.The book helps build a solid foundation in Data Science concepts and related frameworks. It teaches how to implement real-world use cases using data from the HMDA dataset. It explains Azure ML Service architecture, its capabilities, and implementation to the DS team, who will then be prepared to implement MLOps. The book also explains how to use Azure DevOps to make the process repeatable while we're at it.By the end of this book, you will learn strong Python coding skills, gain a firm grasp of concepts such as feature engineering, create insightful visualizations and become acquainted with techniques for building machine learning models.What you will learnOrganize Data Science projects using CRISP-DM and Microsoft TDSP.Learn to acquire and explore data using Python visualizations.Get well versed with the implementation of data pre-processing and Feature Engineering.Understand algorithm selection, model development, and model evaluation.Hands-on with Azure ML Service, its architecture, and capabilities.Learn to use Azure ML SDK and MLOps for implementing real-world use cases.Who this book is forThis book is intended for programmers who wish to pursue AI/ML development and build a solid conceptual foundation and familiarity with related processes and frameworks. Additionally, this book is an excellent resource for Software Architects and Managers involved in the design and delivery of Data Science-based solutions.Table of Contents1. Data Science for Business2. Data Science Project Methodologies and Team Processes3. Business Understanding and Its Data Landscape4. Acquire, Explore, and Analyze Data5. Pre-processing and Preparing Data6. Developing a Machine Learning Model7. Lap Around Azure ML Service8. Deploying and Managing ModelsRead more
